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retailigence

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Company Research Report: Retailigence



Company Overview



  • Name: Retailigence

  • Mission: Retailigence employs an AI-enabled disruptive approach focused on enhancing customer experience by reinventing traditionally rule-based retail solutions.

  • Founded: 2018

  • Founders: Information not specifically provided but involves a team with extensive data science and retail expertise.

  • Key People:

  • Executive:

  • John Burry

  • Sid Sarangi

  • Paula Disberry

  • Management:

  • Ambika Prasad Das

  • Jason Shorrock

  • Gurjeet

  • Richard Harris

  • Dr. Riti Sarangi

  • Headquarters: 85 Great Portland Street, Fitzrovia, London W1W 7LT

  • Number of Employees: No information is available.

  • Revenue: No information is available.

  • Core Competence: Known for optimizing retail management and store operations through machine learning solutions such as assortment optimization, store clustering, and customer segmentation.


Products



1. Assortment Optimisation


  • Description: Tailors customer product offers to boost sales by optimizing store assortments using machine learning.

  • Key Features:

  • Machine learning-driven assortments

  • Integration with demand forecasting engines

  • Customizable business rules


2. Space Modeller


  • Description: Allocates optimal space to product categories in-store to maximize sales.

  • Key Features:

  • Recommendations for space allocation

  • Integration with planograms

  • No complex integration required


3. X-Ray Hub and Mobile App


  • Description: Monitors store operations to identify and rectify issues that result in lost sales, enhancing on-shelf availability.

  • Key Features:

  • Issue detection and corrective action recommendations

  • Role-based action dashboards

  • Continuous learning and monitoring


4. Store Clustering


  • Description: Groups similar stores to enhance assortment and operational strategies.

  • Key Features:

  • Customer-basket driven analysis

  • No user rules required

  • Accessible via cloud APIs


5. Customer Segmentation


  • Description: Targets marketing campaigns effectively by identifying true customer personas.

  • Key Features:

  • Data-driven customer insights

  • Customizable personas


Recent Developments



  • Recent Developments: No specific developments are detailed in the provided data.

  • New Products Launched: No information is available.

  • New Features Added to Existing Products: The products such as the X-Ray Hub Mobile App and Store Clustering solutions continuously monitor and improve their systems based on gathered data but specific new features are not mentioned.

  • New Partnerships: No information is available.


Contact Information



  • Phone: +44 (0) 2035 732737

  • Email: admin@retailigence.com





This report provides a detailed overview based on the information available for Retailigence, a company revolutionizing retail solutions with machine learning.

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